Browsing Faculty of Engineering by Subject "ac- tivation distributions"
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Activation gap generators in neural networks
(In Proc. South African Forum for Artificial Intelligence Research (FAIR2019), 2019-12)No framework exists that can explain and predict the generalisation ability of DNNs in general circumstances. In fact, this question has not been addressed for some of the least complicated of neural network architectures: ...